Data scientist Work, Jobs in Burton Joyce, Ntt (with Salaries)

Data Scientist
Blue Light Card —Leicester
- Hybrid work
- SQL
- Machine learning
- Python
- Free parking
- Annual leave
Data Scientist
Expleo —Derby
- Azure
- Engineering
- SQL
Data Scientist / Statistician (Model Developer)
Capital One UK —Nottingham
- Full-time
- Hybrid work
- Machine learning
- In-person
- Python
- Work from home
Lead Data Scientist (Model Developer) / Deep Learning Practitioner
Capital One UK —Nottingham
- Full-time
- Hybrid work
- SQL
- Machine learning
- Mentoring
- Work from home
Research Assistant in machine learning (Fixed Term)
University of Nottingham —Nottingham
- £32,080 a year
- Master's degree
- Machine learning
- Communication skills
6d
Data Scientist Intern (PhD level)
Lubrizol —Hazelwood
- Doctoral degree
- Engineering
- Master's degree
- Free parking
- Annual leave
Data Scientist
Flint Bishop —Derby
- Full-time
- Microsoft Excel
- SQL
- Analysis skills
- Free parking
- Employee discount
Quick apply
External - AI Architect (m/f/*)
Solventum —Loughborough
- Full-time
- Computer Science
- Master's degree
- SQL
Machine Learning / MLOps Engineer_Nottingham (ML Engineer II)
UST —Nottingham
- Azure
- Master's degree
- SQL
Quick apply
Manager, Commercial AI
AMETEK, Inc. —Leicester
- £80,000 - £90,000 a year
- Sales
- English
- Travel

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Junior Data Scientist
Friend MTS —Birmingham
At least 1-2 years of commercial data science experience required. You should be highly efficient at using these tools to write, debug, and optimise code.
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Lead Data Scientist (Model Developer) / Deep Learning Practitioner
Capital One UK —Nottingham
Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity,…

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Data Scientist

Blue Light Card -
Leicester

Apply Now

Job details

Benefits

Free parking
On-site gym
Annual leave
Company pension
Company events
Employee assistance programme
Private medical insurance
Flexible schedule
On-site parking

Qualifications

Software deployment
SQL
Statistical analysis
Machine learning
Regression analysis
Data science
Python

Full job description

Blue Light Card. Individually great, together unstoppable

The Role and the Team

At Blue Light Card, our members are at the centre of everything we do. The Data Scientist team builds the algorithms and models that help us understand member behaviour, anticipate their needs, and keep our members engaged with the platform.

We’re looking for a Data Scientist, Decision Sciences, with a focus on retention and member engagement. You'll evaluate pipelines and results of retention models and identify improvements in outputs to improve the retention strategy. You'll partner closely with stakeholders across the organisation, translating complex questions into well-designed solutions, and communicating your findings in ways that land with both technical and non-technical audiences alike.

What You’ll Do

Design, develop, and iterate on machine learning models across the member lifecycle, with a particular focus on retention, churn prediction, and customer lifetime value

Evaluate existing model pipelines and outputs, identifying and implementing improvements to increase accuracy and business impact

Work closely with the CRM Lifecycle team to connect model outputs to retention strategies, capturing feedback and incorporating it back into model development

Build forecasting models and marketing mix models to support financial planning and commercial decision-making

Translate ambiguous business problems into well-defined data science approaches, conducting deep-dive analyses across member behaviour, commercial performance, and marketing effectiveness

Build and interpret A/B tests and holdout experiments to support evidence-based decision-making

Create dashboards and visualisations that help the wider organisation understand model results and progress

Act as a trusted partner to business and analytics stakeholders, understanding their goals and proactively identifying where data science can add value

What You’ll Bring

Significant experience as a Data Scientist, with a background in marketing analytics, ecommerce, or a loyalty or membership-driven environment

Strong Python proficiency for data manipulation, statistical modelling, and machine learning, alongside advanced SQL skills and experience with dbt

Solid grounding in statistical methods including regression, causal inference, and experimental design, with hands-on experience building and interpreting A/B tests

Practical experience building predictive models, particularly in retention or customer engagement contexts, with working knowledge of MLOps practices and model deployment pipelines

Experience collaborating with CRM or lifecycle marketing teams, with the ability to shape model outputs into actionable recommendations

The ability to communicate complex findings clearly to non-technical stakeholders, and to build reusable data products that others can act on independently

Familiarity with CLV modelling frameworks such as BG/NBD, Pareto/NBD, or ML-based approaches would be a bonus, but is not essential

Our Culture

Our mission is simple – make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service.

We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special.

We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve.

We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers – either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team. We aim to be flexible, but we aren't able to offer fully remote working.

Blue Light Card is an equal opportunities employer. We believe that employing a diverse workforce is key to our success. We make recruiting decisions based on your experience and skills. In the event of a high number of applications, we'll prioritise candidates who meet both the essential and desirable criteria for the role.

What We Offer

Hybrid working and flexible hours

EV charging and free parking onsite at HQ

25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days

A company bonus scheme

Your own Blue Light Card and exclusive access to thousands of discounts

Generous funded BUPA medical insurance covering pre-existing conditions

Auto-enrolment pension scheme via salary sacrifice, with employer NI savings reinvested into pensions

Enhanced parental leave and absence leave

Healthcare cashback plan

Employee assistance programme (including mental health support) and mental health first aiders

Great social events e.g., festive party, summer party, team socials, sports matches

Regular company-wide recognition events e.g. monthly Light’s Up and annual Shine awards

Relaxed dress code and modern office space (games area, chill-out areas, book club, free drinks/snacks)

Onsite gym at HQ (including access to free HIIT & stretch classes)

Strong learning and development culture and personal growth fund

#LI-Hybrid

Apply Now

Refine Your Search

data scientist jobs in burton joyce, ntt

Data Scientist

Data Scientist

Data Scientist / Statistician (Model Developer)

Lead Data Scientist (Model Developer) / Deep Learning Practitioner

Research Assistant in machine learning (Fixed Term)

Data Scientist Intern (PhD level)

Data Scientist

External - AI Architect (m/f/*)

Machine Learning / MLOps Engineer_Nottingham (ML Engineer II)

Manager, Commercial AI

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